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Discrepant Results in Mental Health Research probes the most common outcomes of mental health studies. Discrepant results appear in scores of studies traversing the globe--a literature dating back to the 1950s. This literature reveals that any two studies often differ in their estimates of anything from the prevalence of mental health conditions to the effects of mental health treatments. In fact, researchers often encounter discrepant results among findings made in a single study. Discrepant results factor into what we think we know about how often mental health conditions occur, what causes them, and how to treat them. Yet, researchers do not know what to do with discrepant results when they encounter them. The problem is not with their methods--discrepant results appear even when researchers use high-quality instruments to collect data. The problem lies with how researchers interpret their data, and the decisions they make with those data. To address this problem, the book reveals a conceptually grounded, evidence-based approach to discrepant results in mental health research. It describes the robust nature of these discrepant results, along with theoretical models for understanding and interpreting them. These models inform sound scientific practices. The book reviews work that has implemented these practices, and it also leverages illustrative case examples to facilitate content mastery. Additionally, it describes future directions in research on discrepant results across several areas of work, including measurement development, intervention science, data analysis, and clinical populations that have received relatively little attention on issues surrounding discrepant results, such as suicide risk and autism.

No other book reviews clinical neuropsychological assessment from an empirical psychometric perspective. In this completely revised and updated 2nd edition, the concepts and methods of psychometric neuropsychology are presented as a framework by which to evaluate current instruments. Newer methodologies and statistical techniques are discussed, such as meta analysis, effect size, confirming factor analysis and ecological validity. The explosion of research in this area since the publication of the first edition in 1989, has been incorporated, including a greatly expanded chapter on child assessment instruments. This volume is a must for the bookshelf of every clinical neuropsychologist as well as researchers and students. Anyone conducting forensic evaluations will especially find useful the information on reliability and validity when preparing for court appearances.

Concepts in Projection-Reconstruction, by Ray Freeman and Ēriks Kupče.- Automated Projection Spectroscopy and Its Applications, by Sebastian Hiller and Gerhard Wider.- Data Sampling in Multidimensional NMR: Fundamentals and Strategies, by Mark W. Maciejewski, Mehdi Mobli, Adam D. Schuyler, Alan S. Stern and Jeffrey C. Hoch.- Generalized Fourier Transform for Non-Uniform Sampled Data, by Krzysztof Kazimierczuk, Maria Misiak, Jan Stanek, Anna Zawadzka-Kazimierczuk and Wiktor Koźmiński.- Applications of Non-Uniform Sampling and Processing, by Sven G. Hyberts, Haribabu Arthanari and Gerhard Wagner